|本期目录/Table of Contents|

[1]叶 涛,李兰兰.一种非高斯风压峰值因子快速求解算法[J].建筑科学与工程学报,2023,40(02):116-128.[doi:10.19815/j.jace.2021.04080]
　YE Tao,LI Lanlan.A fast algorithm for solving non-Gaussian wind pressure peak factor[J].Journal of Architecture and Civil Engineering,2023,40(02):116-128.[doi:10.19815/j.jace.2021.04080]
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《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
40卷
期数:
2023年02期
页码:
116-128
栏目:
建筑结构
出版日期:
2023-03-30

文章信息/Info

Title:
A fast algorithm for solving non-Gaussian wind pressure peak factor
文章编号:
1673-2049(2023)02-0116-13
作者:
叶 涛1,2,李兰兰3
(1. 中交第二航务工程局有限公司,湖北 武汉 430040; 2. 同济大学 桥梁工程系,上海 200092; 3. 紫金山实验室,江苏 南京 211111)
Author(s):
YE Tao1,2, LI Lanlan3
(1. CCCC Second Harbor Engineering Company Ltd., Wuhan 430040, Hubei, China; 2. Department of Bridge Engineering, Tongji University, Shanghai 200092, China; 3. Purple Mountain Laboratories, Nanjing 211111, Jiangsu, China)
关键词:
超高层建筑;  非高斯风压;  峰值因子;  快速求解算法
Keywords:
super high-rise building;  non-Gaussian wind pressure;  peak factor;  fast algorithm
分类号:
TU312
DOI:
10.19815/j.jace.2021.04080
文献标志码:
A
摘要:
为了计算非高斯风压峰值因子,基于双边保证率模型提出了计算非高斯风压时程峰值因子的快速快速搜索法和用于峰值提取的逐级分段法。通过某超高层建筑刚性模型测压风洞试验对常用的几种建筑覆面非高斯风压的峰值因子计算方法进行比较分析,对比各种方法得到峰值因子的大小及其与观察平均峰值的误差率。基于算法结果,研究了脉动风压概率特性,分析了偏度、峰度和峰值因子间的变化关系及其内在变化机理。结果表明:基于可靠度理论,用数值手段无限接近风压时程真实分布的快速搜索法总体精确性和适用性比经典的Sadek-Simiu法有所提高; 极大值序列的峰值因子及其误差率随风向角变化而变化的总趋势和极小值序列是一致的; 侧风面的前缘气流分离区、背风面及迎风面切角区、方形截面45°风向角下两背风面交接处是强非高斯区; 风压时程概率密度分布是否具有绝对值较大的超越峰度与样本对称出现在均值线附近的集中程度相关。
Abstract:
In order to calculate the non-Gaussian wind pressure peak factor, a fast stepwise search method for calculating peak factor of non-Gaussian wind pressure time history and a gradual piecewise method for extracting peak value based on the model of bilateral guarantee rate were proposed. Through a rigid model wind tunnel test data of pressure measurement of a super high-rise building, several typical calculation methods of peak factor of non-Gaussian wind pressure on claddings were compared and analyzed. The value of peak factor and its error rate calculated by several methods were compared with observed average peak value. Based on the algorithm results, the probability characteristics of fluctuating wind pressure were studied, and the variation relationship and internal variation mechanism among skewness, kurtosis and peak factor were discussed. The results show that based on the reliability theory, the overall accuracy and applicability of the stepwise search method, which is infinitely close to the true distribution of wind pressure time history by numerical means, are improved compared with the classical Sadek-Simiu method. The main trend of change of peak factor and error rate of maximum sequence changing with wind direction angle is consistent with that of minimum sequence. The non-Gaussian features are prominently exhibiting at the leading edge airflow separation on the crosswind side, the leeward corner cuts, the windward corner cuts and the junction of two leeward surfaces at 45° wind direction angle of square section.Whether the absolute value of wind pressure time history probability density distribution is larger than the kurtosis is related to the concentration degree of sample symmetry near the mean line.

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备注/Memo

备注/Memo:
收稿日期:2021-04-21
基金项目:上海市科学技术委员会交叉领域创新团队培养计划项目(03DZ12039)
作者简介:叶 涛(1975-),男,工学博士,工程师,E-mail:yetao1982827@163.com。
更新日期/Last Update: 2023-03-20